Junior AI/ML Engineer, GenAI, AWS
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Junior AI/ML Engineer building RAG, GenAI, and AWS systems for Provectus, an AWS Premier and Anthropic Strategic Partner. Contributing to production AI, backend services, evaluations, and deployments.
Responsibilities:
- Build and contribute to RAG system components under senior guidance, with growing autonomy
- Write tests and help build evaluation harnesses
- Write production code across AI, backend services, and data pipelines with code review support
- Integrate AI components into backend services and RESTful APIs
- Support deployment of systems to AWS using containers and CI/CD
- Contribute to documentation, runbooks, and client handover materials
- Participate in technical discussions and architectural decisions
- Support model evaluation and investigate and improve failure modes
- Take increasing ownership of components and technical decisions
Requirements:
- Proactive and self-directed; push for clarity rather than waiting for a ticket
- Excellent communication and problem-solving skills
- Comfortable with some ambiguity, with support from senior team members
- B2+ English, comfortable collaborating across distributed, multicultural teams
- Hands-on experience building or contributing to RAG systems, ideally in production or near-production
- Python and/or TypeScript proficiency
- Practical AWS experience, including Lambda, S3, ECS, or similar
- Some experience with containers and CI/CD in real projects
- Exposure to evaluating non-deterministic systems and test/evaluation cycles
- Basic working knowledge of model/agent monitoring concepts
- Awareness of cost and latency trade-offs when working with LLMs
- Practical experience with LLM APIs such as Anthropic, AWS Bedrock, or OpenAI
- 2+ years of software or ML engineering experience, including exposure to production systems
- Solid AI/ML foundations and understanding of common model failure modes
- Nice to have: experience in financial services, insurance, or healthcare
- Nice to have: consulting, professional services, or embedded customer-facing delivery experience
- Nice to have: AWS and Claude Code certifications, or actively pursuing them
- Nice to have: A2A interoperability concepts
- Nice to have: CI/CD pipeline experience with GitHub Actions or GitLab CI
- Nice to have: NLP, LLM, or recommendation-engine use cases
- Nice to have: Go, TypeScript, or Rust experience
- Nice to have: Apache Spark, Apache Airflow, or Kafka experience
- Nice to have: Claude ecosystem, spec-driven development, and MCP experience
Benefits:
- Remote-friendly culture
- Internal training programs with full support for Claude, AWS, and other professional certifications
- Conference attendance
- Career growth and active engineer development
- Access to the latest AI tools and premium subscriptions
- Long-term B2B collaboration
- Private medical insurance or a budget for medical needs
- Paid sick leave, vacation, and public holidays
- Equipment and all the tech needed for comfortable, productive work
Similar Jobs
Senior Machine Learning Engineer
Senior Machine Learning Engineer productionizing computer vision models for Samsara’s IoT-powered Connected Operations Cloud. Building low-latency APIs, data pipelines, and monitoring for fleet-scale safety features.
Mid-Level MLOps Engineer
MLOps Engineer building and operating secure, reliable ML/AI production services for Redcare Pharmacy, Europe’s leading e-pharmacy. Improving Python systems, Kubernetes infrastructure, CI/CD, and model lifecycle practices.
Machine Learning Engineer – Roleplay Sessions
Machine Learning Engineer building real-time AI coaching for Synthesia’s interactive enterprise roleplay training platform. Developing performance scoring, feedback, and avatar-response models.
AI, Machine Learning Roles
AI/ML professionals developing Generative AI and machine learning solutions. Building scalable cloud applications with Python, LLMs, data pipelines, APIs, and microservices.
Senior AI/ML Engineer – India
Forward Deployed AI/ML Engineer developing and deploying models, LLMs, and Agentic AI systems for NewRocket’s enterprise ServiceNow clients. Building scalable cloud, data, and automation solutions.
Staff Machine Learning Engineer
Staff ML Engineer setting technical direction for AI models at Payabli, a payments infrastructure platform. Building, deploying, and monitoring models across risk, authorization, disputes, and payouts.
Senior Machine Learning Engineer, Forecasting
Senior ML Engineer building MLOps and forecasting infrastructure for Apella’s surgical-care technology. Automating retraining, deployment, monitoring, and scalable production ML systems.
Machine Learning Engineer
Machine Learning Engineer building efficient, production-grade ML models for Proofpoint’s AI-powered cybersecurity detections. Optimizing transformer and LLM systems for reliable, scalable threat protection.
Senior Machine Learning Engineer
Machine Learning Engineer building secure ML platforms, computer vision systems, and AI microservices. Supporting Odyssey’s defense, ISR, and warfighter readiness capabilities.
Senior ML Engineer – Client Solutions
Senior ML Engineer delivering production forecasting and detection systems for AZX’s climate and sustainability clients. Building data pipelines, APIs, monitoring, and client-environment deployments.
Principal Machine Learning Engineer
Principal ML Engineer building Zillow’s multimodal AI agents for real estate customers. Developing Voice AI, Deep Research, evaluation frameworks, and scalable agent infrastructure.
Senior AI/ML Engineer
Senior AI/ML Engineer architecting enterprise Agentic AI orchestration platforms for IT services. Building modular agent workflows with Claude, LangGraph, RAG, vector databases, and FastAPI.
Senior Machine Learning Engineer II
Senior Machine Learning Engineer building large-scale predictive models for FlightAware’s aviation intelligence products. Improving flight arrival, landing, and taxi-time predictions for airlines and airports.
GPU MLOps Engineer
GPU MLOps Engineer managing Azure GPU infrastructure, ML deployments, security, and cloud costs for Molex, a global electronics solutions supplier.
Head of Applied Machine Learning – Application Fraud
Head of Applied ML leading fraud detection and identity models at SentiLink, an identity and risk solutions company. Managing scientists and driving production ML strategy across financial-risk products.
Applied Machine Learning Manager – Application Fraud
Applied ML Manager leading teams developing fraud detection and identity verification models at SentiLink. Owning production ML, risk analysis, and product strategy for U.S. financial systems.
Machine Learning Engineer
Machine Learning Engineer building physics-informed surrogate models for Molex’s electronic connectors and interconnect solutions. Accelerating engineering design optimization through Azure ML and GPU-based simulation prediction.
Staff Machine Learning Engineer, Supply
Staff ML Engineer leading forecasting, supply positioning, and fleet optimization systems. Shaping technical strategy for Lime’s shared micromobility platform serving cities worldwide.
Senior MLOps Engineer – Edge
Senior MLOps Engineer building edge AI infrastructure for Hudl’s smart sports cameras. Deploying optimized models across global device fleets and monitoring reliability.
AI SME – Applied AI, Machine Learning
Principal AI architect leading Azure modernization and enterprise AI programs for 3Cloud, a cloud consultancy. Guiding architecture, delivery, executive consulting, mentorship, and AI innovation across large client programs.